AIMC Topic: Workflow
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Assessing the Anti-cancer Therapeutic Mechanism of a Herbal Combination for Breast Cancer on System-level by a Network Pharmacological Approach.
Anticancer research
Sep 1, 2020
BACKGROUND/AIM: Accumulating evidence has shown therapeutic effects of herbals on breast cancer, a commonly diagnosed malignancy in women worldwide. However, their underlying mechanisms remain unclear. We aimed to explore the mode of action of a rece...
Artificial Intelligence and Machine Learning in Radiology: Current State and Considerations for Routine Clinical Implementation.
Investigative radiology
Sep 1, 2020
Although artificial intelligence (AI) has been a focus of medical research for decades, in the last decade, the field of radiology has seen tremendous innovation and also public focus due to development and application of machine-learning techniques ...
Ethical considerations for artificial intelligence: an overview of the current radiology landscape.
Diagnostic and interventional radiology (Ankara, Turkey)
Sep 1, 2020
Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine and to transform healthcare. In radiology, AI is about to enter into clinical practice and has a wide range of applications covering the whole diagnostic ...
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2020
OBJECTIVE: Machine learning models trained on electronic health records have achieved high prognostic accuracy in test datasets, but little is known about their embedding into clinical workflows. We implemented a random forest-based algorithm to iden...
A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables.
International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists
Jul 1, 2020
Benign normal (NL), premalignant (endometrial intraepithelial neoplasia, EIN) and malignant (cancer, EMCA) endometria must be precisely distinguished for optimal management. EIN was objectively defined previously as a regression model incorporating m...
GlyGen data model and processing workflow.
Bioinformatics (Oxford, England)
Jun 1, 2020
SUMMARY: Glycoinformatics plays a major role in glycobiology research, and the development of a comprehensive glycoinformatics knowledgebase is critical. This application note describes the GlyGen data model, processing workflow and the data access i...
Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.
Anesthesia and analgesia
Jun 1, 2020
Machine Learning/Deep Neuronal Network: Routine Application in Chest Computed Tomography and Workflow Considerations.
Journal of thoracic imaging
May 1, 2020
The constantly increasing number of computed tomography (CT) examinations poses major challenges for radiologists. In this article, the additional benefits and potential of an artificial intelligence (AI) analysis platform for chest CT examinations i...
A governance model for the application of AI in health care.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2020
As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is increasingly becoming evident, it becomes likely that AI will be incorporated in routine clinical care in the near future. This promise has led to growing ...
Single Center Experience with Robot Technologies for Sterile Compounding: A Retrospective Review.
International journal of pharmaceutical compounding
Jan 1, 2020
The compounding of sterile medication admixtures is a labor-intensive process and subject to potential human error. The addition of robotic devices and workflow technology may mitigate some of the challenges of compounding sterile product admixtures,...
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